aarivan/Market-Segmentation-using-Attributed-Graph-Community-Detection

Overview: Market segmentation divides a broad target market into subsets of consumers or businesses that have or are perceived to have common needs, interests, and priorities. These segments help firms or businesses focus on their target groups effectively and allocate resources efficiently. Traditional segmentation methods are solely based on attribute data such as demographics (age, sex, ethnicity, education, etc.) and psychographic profiles (lifestyle, personality, motives, etc.). However, social networks have recently become important for marketing. Depending on the nature of the market, social relations can even become vital in forming segments. Such social relations combined with demographic properties can be used to find more relevant subsets of consumers or businesses (i.e., communities).

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nirav1997/Community-Detection

Market segmentation divides a broad target market into subsets of consumers or businesses that have or are perceived to have common needs, interests, and priorities. These segments help firms or businesses focus on their target groups effectively and allocate resources efficiently. Traditional segmentation methods are solely based on attribute data such as demographics (age, sex, ethnicity, education, etc.) and psychographic profiles (lifestyle, personality, motives, etc.). However, social networks have recently become important for marketing. Depending on the nature of the market, social relations can even become vital in forming segments. Such social relations combined with demographic properties can be used to find more relevant subsets of consumers or businesses (i.e., communities). In this project, we aim to find such market segments given social network data. These social relations can be captured in a graph framework where nodes represent customers/users and edges represent some social relationship. The properties belonging to each customer/user can be treated as node attributes. Hence, market segmentation becomes the problem of community detection over attributed graphs, where the communities are formed based on graph structure as well as attribute similarities.

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DrewDouglass/Sexy-Scale

A simple jQuery solution that provides a sexy scaling effect on hover using animations and CSS3 transform property. NO LONGER MAINTAINED, USE CSS TRANSITIONS.

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Prathamesh2908/Analyzing-the-effect-of-shooting-incidents-on-property-prices

New York shooting incident data was taken from NYC Open Data website and it includes data of victims and perp age group, sex etc. It shows how many incidents were fatal and the causalities according to the borough. It shows the crime occurrence from 2006 in NY. Thus, to study the violence in New York this dataset was chosen

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